Kartläggning av plastkorkar och förslag till förbättringar för den australiensiska marknaden

The project Design analysis and proposals of plastic screw caps in Australia was performed at Högskolan Dalarna incooperation with University of Western Sydney, Australia. The Swedish company Tetra Pak, in Lund, were assigner forthe project that was performed 2006-2007. The commission was to do a survey about the packages for non-carbonateddrinks in Australia. The bottles had to be plastic, able to open in one step and with focus on the caps.The project has result in design analysis and a new proposal of a plastic screw cap for the Australian market. Sixbottles were choosen and they were all testet on 20 consumers each with a Likert-scale test. The result from the test andthe survey underlied the work with a proposal of a new design. The most important qualities for a optimal opening is:a tamper that is easy to break and also guarantee that is not been opened before, wide and soft grip, ergonomics, easyto close and that is good looking.

Face Detection and Facial Feature Localization for multi-pose faces and complex backgroundimages

The objective of this thesis work, is to propose an algorithm to detect the faces in a digital image with complex background. A lot of work has already been done in the area of face detection, but drawback of some face detection algorithms is the lack of ability to detect faces with closed eyes and open mouth. Thus facial features form an important basis for detection. The current thesis work focuses on detection of faces based on facial objects. The procedure is composed of three different phases: segmentation phase, filtering phase and localization phase. In segmentation phase, the algorithm utilizes color segmentation to isolate human skin color based on its chrominance properties. In filtering phase, Minkowski addition based object removal (Morphological operations) has been used to remove the non-skin regions. In the last phase, Image Processing and Computer Vision methods have been used to find the existence of facial components in the skin regions.This method is effective on detecting a face region with closed eyes, open mouth and a half profile face. The experiment’s results demonstrated that the detection accuracy is around 85.4% and the detection speed is faster when compared to neural network method and other techniques.

Student and library services in cooperation

Abstract At Ångström Laboratory, one of the largest campuses at Uppsala University, the Library and the Student Services Office merged in November 2012. This merger is a pilot project to improve service for students and faculty. Ångström Laboratory has around 900 staff and almost 10,000 students, of whom most also spend time at other campuses. In this paper we describe the background and the implementation of the pilot project. One of the main reasons for moving together was the wish to gather together all kinds of student services, including the distribution of written examinations in one place. The central location and open environment of the Library made it a good choice. The heart of the Library and Student Services is an open office consisting of two service desks located in the library area. There are silent study areas; computers for searching and printing, an area for relaxing with newspapers and journals, meeting rooms and offices for the staff. The result is a lively place with a cosy atmosphere. As the Library and the Student Services still belong to different parts of the University we are now starting to find out how best to collaborate. To understand more we log all the questions we get and the services we deliver. We also have meetings together and use the same lunch room to get to know each other and our different functions. We will define which matters can be solved in common, and how we can back each other up when necessary.